Extremely Low-Speed Bearing Fault Diagnosis Based on Raw Signal Fusion and DE-1D-CNN Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Microbiology (medical),Immunology,Immunology and Allergy
Link
https://link.springer.com/content/pdf/10.1007/s42417-023-01228-5.pdf
Reference32 articles.
1. Ab Wahab MN, Nefti-Meziani S, Atyabi A (2015) A comprehensive review of swarm optimization algorithms. PLoS One 10:1–36. https://doi.org/10.1371/journal.pone.0122827
2. Alexakos CT, Karnavas YL, Drakaki M, Tziafettas IA (2021) A combined short time Fourier transform and image classification transformer model for rolling element bearings fault diagnosis in electric motors. Mach Learn Knowl Extr 3:228–242. https://doi.org/10.3390/make3010011
3. Faysal A, Ngui WK, Lim MH, Lim MS (2022) Ensemble augmentation for deep neural networks using 1-D time series vibration data. J Vib Eng Technol 11:1987–2011. https://doi.org/10.1007/s42417-022-00683-w
4. Cho H, Kim Y, Lee E et al (2020) Basic enhancement strategies when using Bayesian optimization for hyperparameter tuning of deep neural networks. IEEE Access 8:52588–52608. https://doi.org/10.1109/ACCESS.2020.2981072
5. Eftekharnejad B, Addali A (2011) Defect source location of a natural defect on a high speed- rolling element bearing with Acoustic Emission. In: Annual conference of the PHM Society, vol 3, no 1. https://doi.org/10.36001/phmconf.2011.v3i1.2033
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Using a One-Dimensional Convolutional Neural Network with Taguchi Parametric Optimization for a Permanent-Magnet Synchronous Motor Fault-Diagnosis System;Processes;2024-04-25
2. Correction: Extremely Low-Speed Bearing Fault Diagnosis Based on Raw Signal Fusion and DE-1D-CNN Network;Journal of Vibration Engineering & Technologies;2023-12-22
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